Application of neural networks for improving the methods of assessment of corneal nerve fibers (preliminary report)

Processing large datasets using artificial intelligence is a promising approach in disease diagnosis and monitoring that focuses on improving research algorithms for existing technologies. Interest in studying corneal nerve fibers (CNFs) arises not only from the need to understand the pathogenesis a...

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Vydané v:	Vestnik oftal'mologii Ročník 141; číslo 2; s. 117
Hlavní autori:	Avetisov, S E, Surnina, Z V, Georgiev, S
Médium:	Journal Article
Jazyk:	Russian
Vydavateľské údaje:	Russia (Federation) 2025
Predmet:	Adult Algorithms Cornea - innervation Female Humans Image Processing, Computer-Assisted - methods Male Microscopy, Confocal - methods Middle Aged Nerve Fibers - pathology Neural Networks, Computer corneal nerves neural networks corneal confocal microscopy
ISSN:	0042-465X
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